null_percentage = df.select([(F.count(F.when(F.col(c).isNull(), c))/total_rows).alias(c) for c in df.columns]) null_percentage.show() cols_to_drop = [col for col in null_percentage.columns if null_percentage.first()[col] > threshold ] # Since NULL values in the Age Column...
The column minutes_played has many missing values, so we want to drop it. In PySpark, we can drop a single column from a DataFrame using the .drop() method. The syntax is df.drop("column_name") where: df is the DataFrame from which we want to drop the column column_name is the ...
set 2 intro to sql sql select sql select distinct sql where sql order by sql insert into sql and, or, and not sql null values sql update sql delete sql select top sql min and max functions sql count(), avg(), sum() sql like sql wildcards sql in sql between sql aliases sql ...
# Drop null values df.dropna(axis=0, inplace=True) # filter rows with percentage > 55 output = df[df.Percentage > 55] output As you can see in the table above, the indexing of rows has changed. Initially it was 0,1,2… but now it has changed to 0,1,5. In such cases, you...
First, let’s look at how we structured the training phase of our machine learning pipeline using PySpark: Training Notebook Connect to Eventhouse Load the data frompyspark.sqlimportSparkSession# Initialize Spark session (already set up in Fabric Notebooks)spark=SparkSession.builder.getOrCreate()#...
In PySpark, we can drop one or more columns from a DataFrame using the .drop("column_name") method for a single column or .drop(["column1", "column2", ...]) for multiple columns. Maria Eugenia Inzaugarat 6 min tutorial Lowercase in Python Tutorial Learn to convert spreadsheet table...
PySpark 25000 1 Spark 22000 2 dtype: int64 Get Count Duplicates When having NaN Values To count duplicate values of a column which has NaN values in a DataFrame usingpivot_table()function. First, let’s see what happens when we have NaN values on a column you are checking for duplicates....
Calculate the total number of snapshots in the container frompyspark.sql.functionsimport*print("Total number of snapshots in the container:",df.where(~(col("Snapshot")).like("Null")).count()) Calculate the total container snapshots capacity (in bytes) ...
from pyspark.sql.functions import col, when, lit, to_date # Load the data from the Lakehouse df = spark.sql("SELECT * FROM SalesLakehouse.sales LIMIT 1000") # Ensure 'date' column is in the correct format df = df.withColumn("date", to_date(col("...
How to Update and Drop Table Partitions Hive SHOW PARTITIONS Command HiveSHOW PARTITIONSlist all the partitions of a table in alphabetical order. Hive keeps adding new clauses to theSHOW PARTITIONS, based on the version you are using the syntax slightly changes. ...